8fb9750a7b* chore: update langchain-anthropic dependency to version 0.3.14 and adjust revision in uv.lock * fix: add workaround for handling function calling in Anthropic output processing * Fix indentation Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> * fix: remove duplicate error message in _extract_output_text function * fix: update _build_llm_model to handle missing attributes gracefully * fix: handle max_tokens default value and improve error handling in AnthropicModelComponent * fix: enhance input handling in Component class to manage deepcopy errors * fix: add 'no_blockbuster' marker to pytest configuration for improved test control * fix: refactor agent component tests to include all OpenAI and Anthropic models, improving validation and error reporting * fix: update agent components to include pydantic validation and improve error handling across multiple starter projects * fix: set default max_tokens value in AnthropicModelComponent and improve API URL handling * fix: enhance error reporting in AgentComponent tests by capturing exceptions and response discrepancies for all Anthropic models * chore: update package versions in uv.lock, including alembic, arize-phoenix-otel, bce-python-sdk, boto3-stubs, botocore-stubs, tornado, and others for improved compatibility and features * fix: update agent components across multiple starter projects to include new imports and improve error handling * fix: streamline max_tokens handling in AnthropicModelComponent for improved clarity and robustness * [autofix.ci] apply automated fixes * fix: update artifacts_raw type to allow None for better flexibility * fix: initialize artifacts_raw as an empty dict if None to prevent errors * fix: specify type for similarity_score to enhance type safety and clarity * fix: refactor JSON parsing to improve variable naming and clarity * fix: skip flaky test in Portfolio Website Code Generator until stabilized --------- Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> |
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| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
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Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and a built-in API server that turns every agent into an API endpoint that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual Builder to get started quickly and iterate.
- Access to Code so developers can tweak any component using Python.
- Playground to immediately test and iterate on their flows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow works with Python 3.10 to 3.13.
Install with uv (recommended)
uv pip install langflow
Install with pip
pip install langflow
📦 Deployment
Self-managed
Langflow is completely open source and you can deploy it to all major deployment clouds. Follow this guide to learn how to use Docker to deploy Langflow.
Fully-managed by DataStax
DataStax Langflow is a full-managed environment with zero setup. Developers can sign up for a free account to get started.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.